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Use Cases · Incident Response

The search that matters happens at two in the morning.

Incident response is bought under pressure, and increasingly the first question goes to an assistant. GrackerAI shows you whether the engines name you when someone asks who to call, and what would have to exist on your site for them to.

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Urgent Containment Retainer Insurance Forensics Incident Response shortlist
GrackerAI tracking how AI engines answer incident response and DFIR vendor questions

The incident response AEO reality

Under pressure, the first answer is usually the only one considered.

An organisation mid-incident does not run an evaluation. It asks a direct question and acts on the answer. That makes presence in a handful of urgent prompts worth more than broad category visibility ever will be.

Why IR buyers research differently

  • The urgent search converts immediately There is no evaluation cycle, only a decision made in the next hour
  • Retainers are bought calmly, in advance Two completely different prompt sets lead to the same service
  • Legal and insurance shape the choice Cyber insurers and counsel often constrain who can be engaged
  • Credentials are checked immediately Certifications and published casework are verified before a call is made

What you get

What the platform does when the buyer is mid-incident

Monitoring

Urgent and planned prompts apart

Prompt Topics separates the two-in-the-morning questions from the retainer-planning ones, because they need different pages and convert on completely different timelines.

See Prompt Topics →
Intelligence

Who the engines currently recommend

LLM Citations shows which sources the models read when answering an urgent question, which is often an insurer panel list or a directory rather than a vendor site.

See LLM Citations →
Verification

Every identifier checked at the authority

CVE, CWE, ATT&CK, CAPEC and NIST references on your pages are resolved against the body that issued them, and an active-exploit claim is checked against CISA's Known Exploited Vulnerabilities catalog.

See Security Verification →
Content

Fabricated identifiers never ship

Identifiers are resolved before a draft is written, and anything the model produced that is not in that resolved set is stripped out before the page publishes.

See Content Engine →
Monitoring

CVE and news sweeps that become prompts

New vulnerabilities and security news are swept on a schedule, scored for exploitability and for how closely they touch your products, and the survivors become monitored prompts automatically.

See AI Visibility Monitoring →

Prompt coverage

The prompts that decide an IR engagement

Urgent prompts skew to ChatGPT for speed; planning and credential questions pull cited sources on Perplexity.

  1. Urgent “Who do we call after a ransomware detonation” ChatGPTPerplexity
  2. Containment “First steps after confirming a business email compromise” ClaudeChatGPT
  3. Retainer “Do we need an IR retainer at our size” ChatGPTPerplexity
  4. Insurance “IR firms accepted by cyber insurance panels” PerplexityChatGPT
  5. Forensics “Preserving evidence for a legal case after a breach” ClaudePerplexity

Plays

Four plays that move IR pipelines

  1. 01

    Own the emergency question

    A handful of urgent prompts convert immediately and nothing else in this category does. Find out whether the engines name you on them, because there is no second chance during an incident.

    Explore AI Visibility Monitoring →
  2. 02

    Capture the calm search too

    Retainers are bought in advance by people asking whether they need one. That is a separate prompt set, a separate page and a far longer conversation.

    Explore Prompt Topics →
  3. 03

    Appear where insurers and counsel look

    Panel membership and legal acceptability constrain who gets engaged. Citations shows which of those sources the engines actually read when answering.

    Explore LLM Citations →
  4. 04

    Publish casework that checks out

    Published incident analysis is the strongest credential in this category, and it is dense with identifiers. Verification resolves each one so the work stands up to the audience that reads it.

    Explore Security Verification →

The stack

The right product for every stage of the work

  1. Diagnose

    Find where you are missing today

    Prompt Research AI Visibility Monitoring AI Visibility Score

  2. Explain

    Understand why a prompt goes to someone else

    Visibility Diagnosis LLM Citations Competitor Monitoring

  3. Fix

    Turn findings into published pages

    Technical AEO Audit Recommendation Engine Content Engine

  4. Ship

    Get it live and keep it moving

    Tasks WordPress Publishing AI Search Analytics

Frequently Asked Questions

Questions B2B SaaS teams ask before getting started

The same all 10 AI engines it tracks for every vertical: ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Microsoft Copilot, DeepSeek, Brave Leo, Grok and Claude. Coverage is by plan — 3 engines on Individual, 4 on Team and all 10 on Enterprise.

Urgent and planning prompts are tracked as separate topics because they convert on completely different timelines, and identifiers in published casework are resolved against the issuing authorities.

Monitoring starts returning answers on the first run, so you can see where you stand immediately. Movement in citations follows publishing, which depends on how fast you ship the fixes the audit and diagnosis hand you.

No. Classic SEO governs ranking; AEO and GEO govern whether a model quotes you. The technical audit overlaps with an SEO audit in places, but the citation work sits alongside what you already do rather than replacing it.

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